CORE
🇺🇦Â
 make metadata, not war
Services
Research
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
IMILAST \u2013 a community effort to intercompare extratropical cyclone detection and tracking algorithms: assessing method-related uncertainties.
Authors
A. Cocozza
C.C. Raible
+34Â more
G.C. Leckebusch
H. Wernli
H.F. Dacre
I. Kindem
I. Rudeva
I. Simmonds
I.F. Trigo
I.I. Mokhov
J. Grieger
J. Hanley
J.G. Pinto
K. Fraedrich
K. Keay
M. Inatsu
M. Reale
M. Schuster
M. Sinclair
M. Sprenger
M.G. Akperov
M.L.R. Liberato
N. Bellenbaum
N.D. Tilinina
Neu U.
P. Lionello
R. Benestad
R. Blender
R. Caballero
S. Gulev
S. Ulbrich
S.F. Kew
T. Hewson
U. Ulbrich
X.L. Wang
Y. Feng
Publication date
1 January 2013
Publisher
Abstract
An intercomparison experiment involving 15 commonly used detection and tracking algorithms for extratropical cyclones reveals those cyclone characteristics that are robust between different schemes and those that differ markedly
Similar works
Full text
Available Versions
Archivio istituzionale della ricerca - Università di Trieste
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:arts.units.it:11368/266732...
Last time updated on 12/11/2016